Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research (FNLCR), Frederick, MD, USA.
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Methods Mol Biol. 2025;2859:163-179. doi: 10.1007/978-1-0716-4152-1_9.
Phenotypic differences between species are, in significant part, determined by their proteomic diversity. The link between proteomic and phenotypic diversity can be best understood in the context of the various pathways and biological processes in which proteins participate. While the conservation pattern for individual proteins across species is expected to follow the phylogenetic relationships among the species, the diversity patterns of individual pathways may not: certain pathways may be much more conserved among distantly related species than two closely related species, owing to the ecological histories of the species. Thus, a pathway-centric analysis of proteome conservation and diversity has important implications for the appropriate choice of a model organism when investigating specific aspects of human biology. Exploiting the complete genome sequences and protein-coding gene annotations, here we perform a comprehensive gene-set-centric analysis of proteomic diversity between humans and 54 eukaryotic organisms, resulting in a catalog of organisms that are most similar to humans in terms of specific pathways, processes, expression patterns, and diseases. We corroborate our findings using species-specific mass spectrometry data.Our analysis provides a general framework to identify conserved and unique pathways in a group of organisms and a resource to prioritize appropriate model systems to study a specific biological system in a reference organism such as humans.
物种间的表型差异在很大程度上是由其蛋白质组多样性决定的。在蛋白质参与的各种途径和生物过程的背景下,蛋白质组和表型多样性之间的联系可以得到最好的理解。虽然跨物种的个体蛋白质的保守模式预计将遵循物种之间的系统发育关系,但个体途径的多样性模式可能不会如此:由于物种的生态历史,某些途径在远缘相关物种之间的保守程度可能远高于两个密切相关的物种。因此,当研究人类生物学的特定方面时,以途径为中心的蛋白质组保守性和多样性分析对于选择合适的模型生物具有重要意义。利用完整的基因组序列和蛋白质编码基因注释,我们在这里对人类和 54 种真核生物之间的蛋白质组多样性进行了全面的基因集中心分析,得到了一个根据特定途径、过程、表达模式和疾病与人类最相似的生物体目录。我们使用物种特异性质谱数据来证实我们的发现。我们的分析提供了一个通用框架,用于识别一组生物体中的保守和独特途径,并为确定适当的模型系统提供了资源,以在参考生物体(如人类)中研究特定的生物系统。